The report from global uninterruptible power supplies market 2016, highlights in demand and usage patterns of UPS across wide power ranges, from 1 - 500 kVA.
According to the research, more than 60% of the UPS demand is in United States, China and India.
The Indian scenario
Unfortunately, a lack of expertise about these systems are leading many small service producers to consider purchase and maintenance on cost basis.
As an independent solution provider in the IoT predictive maintenance space, we have had discussions with numerous prospects and customers.
The following case study is one such example and will highlight the usage of 10kVA UPS and its impact on escalating EB bills.
A mid–sized software company, which was serving clients across 7 countries had 50 computers and 8 servers. They were working on high end technology related R&D projects. The execution team were using specific computing resources which were critical to the overall sustainability of their business. Thus, the business had high dependency on their UPS systems for ensuring non-occurrence of power related interruptions.
On an average, their UPS systems were consuming 1/4th of the total electricity units.
UPS drains revenue
One of the key areas of pain for any company is revenue loss due to high EB bills, which has an overall negative effect on the operational costs. The electricity consumption pattern was steady and uniform for this company until they suddenly started recognizing close to 50% rise on their EB bills. This triggered a knee-jerk reaction and the attention of the senior leadership team was drawn towards this problem. At this point one can clearly imagine the magnitude of the problem when a similar scenario occurs in a large company with greater number of computing resources including the many UPS systems.
The senior leadership team wanted to understand the reasons and were looking for data, reports to study the problem. But initially they were unable to get adequate data from their team and it was leading to high levels of frustration due to manual data logging.
When they contacted the team eAlerta and shared their problem, our team was quickly able to point out the feature of automated data logging and analytical reports in eAlerta. This helped them to study the historical data and analytical reports generated by eAlerta. The analytical reports revealed that their UPS systems were not maintained properly.
Based on their findings, the senior leadership team could take timely decisions which avoided the possible danger of their business being affected.
Thus, the company transformed to predictive maintenance which leads to 45% reduction on their EB bills.
Snapshots of the solution from eAlerta
In the below graph, we can see the comparison between the consumption pattern of EB unit’s against 10kVA UPS on a monthly basis.
Fig (i): Graph showing EB units vs UPS units before eAlerta
Fig (ii): Graph showing EB units vs UPS units after eAlerta
Without eAlerta, the root cause for high EB bill will be unknown and leads to huge revenue loss. eAlerta’s predictive maintenance enabled their team with the following benefits:
- 24/7 automated monitoring to predict where and why equipment failures are likely to occur
- Instant SMS alerts to prevent surprise equipment related expenses to reduce operational costs
- Analytical reports to gain sustainable profit through the equipment from being utilized efficiently